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检索条件"任意字段=2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016"
21006 条 记 录,以下是4921-4930 订阅
排序:
Event-based Synthetic Aperture Imaging with a Hybrid Network
Event-based Synthetic Aperture Imaging with a Hybrid Network
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Xiang Liao, Wei Yu, Lei Yang, Wen Xia, Gui-Song Wuhan Univ Wuhan Peoples R China
Synthetic aperture imaging (SAI) is able to achieve the see through effect by blurring out the off-focus foreground occlusions and reconstructing the in-focus occluded targets from multi-view images. However, very den... 详细信息
来源: 评论
BCNN: A Binary CNNWith All Matrix Ops Quantized To 1 Bit Precision
BCNN: A Binary CNNWith All Matrix Ops Quantized To 1 Bit Pre...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Redfern, Arthur J. Zhu, Lijun Newquist, Molly K. Texas Instruments Inc 12500 TI Blvd Dallas TX 75243 USA Georgia Inst Technol North Ave NW Atlanta GA 30332 USA
This paper describes a CNN where all CNN style 2D convolution operations that lower to matrix matrix multiplication are fully binary. The network is derived from a common building block structure that is consistent wi... 详细信息
来源: 评论
Semantic hierarchies for visual object recognition
Semantic hierarchies for visual object recognition
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ieee conference on computer vision and pattern recognition
作者: Marszalek, Marcin Schmid, Cordelia LEAR LJK INRIA 665 Europe F-38330 Montbonnot St Martin France
In this paper we propose to use lexical semantic networks to extend the state-of-the-art object recognition techniques. We use the semantics of image labels to integrate prior knowledge about inter-class relationships... 详细信息
来源: 评论
Query-Focused Video Summarization: Dataset, Evaluation, and A Memory Network Based Approach  30
Query-Focused Video Summarization: Dataset, Evaluation, and ...
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30th ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Sharghi, Aidean Laurel, Jacob S. Gong, Boqing Univ Cent Florida Ctr Res Comp Vis Orlando FL 32816 USA Univ Alabama Birmingham Dept Comp Sci Birmingham AL 35294 USA
Recent years have witnessed a resurgence of interest in video summarization. However, one of the main obstacles to the research on video summarization is the user subjectivity - users have various preferences over the... 详细信息
来源: 评论
Person Re-identification by Local Maximal Occurrence Representation and Metric Learning
Person Re-identification by Local Maximal Occurrence Represe...
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ieee conference on computer vision and pattern recognition (cvpr)
作者: Liao, Shengcai Hu, Yang Zhu, Xiangyu Li, Stan Z. Chinese Acad Sci Inst Automat Ctr Biometr & Secur Res Natl Lab Pattern Recognit 95 Zhongguancun East Rd Beijing 100190 Peoples R China
Person re-identification is an important technique towards automatic search of a person's presence in a surveillance video. Two fundamental problems are critical for person re-identification, feature representatio... 详细信息
来源: 评论
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual recognition Problems
Learning Common Rationale to Improve Self-Supervised Represe...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Shu, Yangyang van den Hengel, Anton Liu, Lingqiao Univ Adelaide Sch Comp Sci Adelaide SA Australia
Self-supervised learning (SSL) strategies have demonstrated remarkable performance in various recognition tasks. However, both our preliminary investigation and recent studies suggest that they may be less effective i... 详细信息
来源: 评论
Joint Intensity and Spatial Metric Learning for Robust Gait recognition  30
Joint Intensity and Spatial Metric Learning for Robust Gait ...
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30th ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Makihara, Yasushi Suzuki, Atsuyuki Muramatsu, Daigo Li, Xiang Yagi, Yasushi Osaka Univ Suita Osaka 565 Japan Nanjing Univ Sci & Technol Nanjing Jiangsu Peoples R China
This paper describes a joint intensity metric learning method to improve the robustness of gait recognition with silhouette-based descriptors such as gait energy images. Because existing methods often use the differen... 详细信息
来源: 评论
Reinforcement Cutting-Agent Learning for Video Object Segmentation  31
Reinforcement Cutting-Agent Learning for Video Object Segmen...
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31st ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Han, Junwei Yang, Le Zhang, Dingwen Chang, Xiaojun Liang, Xiaodan Northwestern Polytech Univ Xian Shaanxi Peoples R China Xidian Univ Xian Shaanxi Peoples R China Carnegie Mellon Univ Pittsburgh PA 15213 USA
Video object segmentation is a fundamental yet challenging task in computer vision community. In this paper, we formulate this problem as a Markov Decision Process, where agents are learned to segment object regions u... 详细信息
来源: 评论
Human Action recognition with Extremities as Semantic Posture Representation
Human Action Recognition with Extremities as Semantic Postur...
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ieee-computer-Society conference on computer vision and pattern recognition Workshops
作者: Yu, Elden Aggarwal, J. K. Univ Texas Austin Comp & Vis Res Ctr Austin TX 78712 USA
In this paper, we present at? approach for human action recognition with extremities as a compact semantic posture representation. First, we develop a variable star skeleton representation (VSS) in order to accurately... 详细信息
来源: 评论
Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective
Deep Representation Learning on Long-tailed Data: A Learnabl...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Liu, Jialun Sun, Yifan Han, Chuchu Dou, Zhaopeng Li, Wenhui Jilin Univ Jilin Jilin Peoples R China Megvii Inc Beijing Peoples R China Huazhong Univ Sci & Technol Wuhan Peoples R China Tsinghua Univ Beijing Peoples R China
This paper considers learning deep features from long-tailed data. We observe that in the deep feature space, the head classes and the tail classes present different distribution patterns. The head classes have a rela... 详细信息
来源: 评论